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- Surveys and statistical programs – Documentation: 75F0002M2002006Description:
This user's guide provides a detailed description of the CD-ROM Income trends in Canada (Catalogue no. 13F0022XCB). It also provides a glossary and a description of the major concepts, as well as an overview of the data source, the Survey of Labour and Income Dynamics (SLID).
Release date: 2002-11-19 - Articles and reports: 11-522-X20010016231Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. Its is intended for an audience of survey methodologists.
In 2000, the Behavioral Risk Factor Surveillance System (BRFSS) conducted monthly telephone surveys in 50 American states, the District of Columbia, and Puerto Rico: each was responsible for collecting its own survey data. In Maine, data collection was split between the state health department and ORC Macro, a commercial market research firm. Examination of survey outcome rates, selection biases and missing values for income suggest that the Maine health department data are more accurate. However, out of 18 behavioural health risk factors, only four are statistically different by data collector, and for these four factors, the data collected by ORC Macro seem more accurate.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016257Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
This paper describes the methods used to increase the response rates of a generalist and specialist physician survey. The means of delivery (regular versus priority mail) and notification of inclusion in a draw for cash prizes were randomized using a 2 x 2 factorial design. While neither priority delivery nor notification of a cash prize sufficiently overcame whatever obstacles exist in this population, both approaches had a positive, though limited, effect on the response rate of the physicians. However, a subsequent mailing of a prepaid cash incentive (delivered by courier) was particularly effective in increasing the representation of the generalist subsample.
Release date: 2002-09-12 - 4. Building quality in Census 2000 ArchivedArticles and reports: 11-522-X20010016265Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
Several key strategies contributed to the success of the United States' Census 2000. This paper describes the strategy for the Address Building Process that incorporated numerous address lists and updated activities. The Field Interview Process created close to 900,000 jobs that needed to be filled. Two key strategies to achieve this are also described. The Formal Quality Control Process established principles to guide the quality assurance (QA) programs. These programs are presented, as are some of the examples of their implementation. The Coverage Measurement and Correction Process was used to increase census accuracy through the use of statistical methods. The steps taken to ensure Annual Capital Expenditures (ACE) accuracy and quality are described and the preliminary estimates of the undercount are reported.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016266Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
The key measure of Census quality is the level of response achieved. In recent censuses around the world, this level has been in the high nineties percentage range. This was also true of the 1991 Census in Britain (98%). However, what was particularly noticeable about this Census was the differential response rate and the difficulty in effectively measuring this rate. The United Kingdom set up the One Number Census program in order to research and develop a more effective methodology to measure and account for under-enumeration in the 2001 Census. The key element in this process is the Census Coverage Survey - a significantly larger and redesigned post-enumeration survey.
This paper describes the planning and design of the Census Coverage Survey with particular emphasis on the implementation of the proposed field methodology. It also provides a high-level overview of the success of this survey.
Release date: 2002-09-12 - 6. Using national registrations to correct for selective non-response: political preference of ethnic groups ArchivedArticles and reports: 11-522-X20010016268Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
This paper deals with non-response bias, discussing a few approaches in this field. It is demonstrated that non-response bias as to voter turnout is lower in a survey on living conditions than in a purely political survey. In addition, auxiliary information from registrations is used to investigate non-response and its bias among ethnic groups. Response rates among ethnic minority groups are rather low, but there is no evidence that response rates are less in lower social class areas. Correcting for limited socioeconomic deviations does not affect the distributions of political preference.
Release date: 2002-09-12 - Surveys and statistical programs – Documentation: 11-522-X20010016269Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
In surveys with low response rates, non-response bias can be a major concern. While it is not always possible to measure the actual bias due to non-response, there are different approaches that help identify potential sources of non-response bias. In the National Center for Education Statistics (NCES), surveys with a response rate lower than 70% must conduct a non-response bias analysis. This paper discusses the different approaches to non-response bias analyses using examples from NCES.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016280Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
Survey response rates serve as one key measure of the quality of a data set. However, they are only useful to a statistical agency in the evaluation of ongoing data collections if they are based on a predefined set of formulas and definitions that are uniformly applied across all data collections.
In anticipation of a revision of the current National Center for Education Statistics (NCES) statistical standards, several agency-wide audits of statistical practices were undertaken in the late 1990s. In particular, a compendium documenting major survey design parameters of NCES surveys was drafted. Related to this, NCES conducted a targeted audit of the consistency in response rate calculations across these surveys.
Although NCES has had written statistical standards since 1988, the audit of the reported response rates from 50 survey components in 14 NCES surveys revealed considerable variability in procedures used to calculate response rates. During the course of the response rate audit, the Statistical Standards Program staff concluded that the organization of the 1992 Standards made it difficult to find all of the information associated with response rates in the standards. In fact, there are references to response rate in a number of separate standards scattered throughout the 1992 Statistical Standards.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016296Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
The Canadian Labour Force Survey (LFS) is one of Statistics Canada's most important surveys. It is a monthly survey that collects data concerning the person's labour force status, the nature of the person's work or reason for not working, and the person's demographics. The survey sample consists of approximately 52,000 households. Coverage error is a measure of data quality that is important to any survey. One of the key measures of coverage error in the LFS is the percentage difference between the Census of Population estimates and the LFS population counts; this error is called slippage. A negative value indicates that the LFS has a problem of overcoverage, while a positive value indicates the LFS has an undercoverage problem. In general, slippage is positive, thus meaning that the LFS consistently misses people who should be enumerated.
The purpose of this study was to determine why slippage is increasing and what can be done to remedy it. The study was conducted in two stages. The first stage was a historical review of the projects that have studied and tried to control slippage in the LFS, as well as the operational changes that have been implemented over time. The second stage was an analysis of factors such as vacancy rates, non-response, demographics, urban and rural status and the impact of these factors on the slippage rate.
Release date: 2002-09-12 - 10. A statistical analysis of response rates ArchivedArticles and reports: 11-522-X20010016297Description:
This paper discusses in detail issues dealing with the technical aspects in designing and conducting surveys. It is intended for an audience of survey methodologists. The Danish National Institute of Social Research is an independent institution under the Ministry of Social Affairs. The Institute carries out surveys on social issues on encompassing a broad range of subjects. The Sustainable Financing Initiative Survey (SFI-SURVEY) is an economically independent section within the institute. SFI-SURVEY carries out scientific surveys both for the Institute, for other public organizations, and for the private sector as well. The SFI-SURVEY interviewer body has 450 interviewers spread throughout Denmark. There are five supervisors, each with a regional office, who are in contact with the interviewer body. On a yearly basis, SFI-SURVEY conducts 40 surveys. The average sample size (gross) is 1,000 persons. The average response rate is 75%. Since January 1999, the following information about the surveys have been recorded: · Type of method used (face-to-face or telephone) · Length of questionnaire (interviewing time in minutes) · Whether or not a folder was sent to the respondents in advance · Whether or not an interviewer instruction meeting was given · Number of interviews per interviewer per week · Whether or not the subject of the survey was of interest to the respondents · Interviewing month · Target group (random selection of the total population or special groups)
Release date: 2002-09-12
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- Articles and reports: 11-522-X20010016231Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. Its is intended for an audience of survey methodologists.
In 2000, the Behavioral Risk Factor Surveillance System (BRFSS) conducted monthly telephone surveys in 50 American states, the District of Columbia, and Puerto Rico: each was responsible for collecting its own survey data. In Maine, data collection was split between the state health department and ORC Macro, a commercial market research firm. Examination of survey outcome rates, selection biases and missing values for income suggest that the Maine health department data are more accurate. However, out of 18 behavioural health risk factors, only four are statistically different by data collector, and for these four factors, the data collected by ORC Macro seem more accurate.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016257Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
This paper describes the methods used to increase the response rates of a generalist and specialist physician survey. The means of delivery (regular versus priority mail) and notification of inclusion in a draw for cash prizes were randomized using a 2 x 2 factorial design. While neither priority delivery nor notification of a cash prize sufficiently overcame whatever obstacles exist in this population, both approaches had a positive, though limited, effect on the response rate of the physicians. However, a subsequent mailing of a prepaid cash incentive (delivered by courier) was particularly effective in increasing the representation of the generalist subsample.
Release date: 2002-09-12 - 3. Building quality in Census 2000 ArchivedArticles and reports: 11-522-X20010016265Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
Several key strategies contributed to the success of the United States' Census 2000. This paper describes the strategy for the Address Building Process that incorporated numerous address lists and updated activities. The Field Interview Process created close to 900,000 jobs that needed to be filled. Two key strategies to achieve this are also described. The Formal Quality Control Process established principles to guide the quality assurance (QA) programs. These programs are presented, as are some of the examples of their implementation. The Coverage Measurement and Correction Process was used to increase census accuracy through the use of statistical methods. The steps taken to ensure Annual Capital Expenditures (ACE) accuracy and quality are described and the preliminary estimates of the undercount are reported.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016266Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
The key measure of Census quality is the level of response achieved. In recent censuses around the world, this level has been in the high nineties percentage range. This was also true of the 1991 Census in Britain (98%). However, what was particularly noticeable about this Census was the differential response rate and the difficulty in effectively measuring this rate. The United Kingdom set up the One Number Census program in order to research and develop a more effective methodology to measure and account for under-enumeration in the 2001 Census. The key element in this process is the Census Coverage Survey - a significantly larger and redesigned post-enumeration survey.
This paper describes the planning and design of the Census Coverage Survey with particular emphasis on the implementation of the proposed field methodology. It also provides a high-level overview of the success of this survey.
Release date: 2002-09-12 - 5. Using national registrations to correct for selective non-response: political preference of ethnic groups ArchivedArticles and reports: 11-522-X20010016268Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
This paper deals with non-response bias, discussing a few approaches in this field. It is demonstrated that non-response bias as to voter turnout is lower in a survey on living conditions than in a purely political survey. In addition, auxiliary information from registrations is used to investigate non-response and its bias among ethnic groups. Response rates among ethnic minority groups are rather low, but there is no evidence that response rates are less in lower social class areas. Correcting for limited socioeconomic deviations does not affect the distributions of political preference.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016280Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
Survey response rates serve as one key measure of the quality of a data set. However, they are only useful to a statistical agency in the evaluation of ongoing data collections if they are based on a predefined set of formulas and definitions that are uniformly applied across all data collections.
In anticipation of a revision of the current National Center for Education Statistics (NCES) statistical standards, several agency-wide audits of statistical practices were undertaken in the late 1990s. In particular, a compendium documenting major survey design parameters of NCES surveys was drafted. Related to this, NCES conducted a targeted audit of the consistency in response rate calculations across these surveys.
Although NCES has had written statistical standards since 1988, the audit of the reported response rates from 50 survey components in 14 NCES surveys revealed considerable variability in procedures used to calculate response rates. During the course of the response rate audit, the Statistical Standards Program staff concluded that the organization of the 1992 Standards made it difficult to find all of the information associated with response rates in the standards. In fact, there are references to response rate in a number of separate standards scattered throughout the 1992 Statistical Standards.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016296Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
The Canadian Labour Force Survey (LFS) is one of Statistics Canada's most important surveys. It is a monthly survey that collects data concerning the person's labour force status, the nature of the person's work or reason for not working, and the person's demographics. The survey sample consists of approximately 52,000 households. Coverage error is a measure of data quality that is important to any survey. One of the key measures of coverage error in the LFS is the percentage difference between the Census of Population estimates and the LFS population counts; this error is called slippage. A negative value indicates that the LFS has a problem of overcoverage, while a positive value indicates the LFS has an undercoverage problem. In general, slippage is positive, thus meaning that the LFS consistently misses people who should be enumerated.
The purpose of this study was to determine why slippage is increasing and what can be done to remedy it. The study was conducted in two stages. The first stage was a historical review of the projects that have studied and tried to control slippage in the LFS, as well as the operational changes that have been implemented over time. The second stage was an analysis of factors such as vacancy rates, non-response, demographics, urban and rural status and the impact of these factors on the slippage rate.
Release date: 2002-09-12 - 8. A statistical analysis of response rates ArchivedArticles and reports: 11-522-X20010016297Description:
This paper discusses in detail issues dealing with the technical aspects in designing and conducting surveys. It is intended for an audience of survey methodologists. The Danish National Institute of Social Research is an independent institution under the Ministry of Social Affairs. The Institute carries out surveys on social issues on encompassing a broad range of subjects. The Sustainable Financing Initiative Survey (SFI-SURVEY) is an economically independent section within the institute. SFI-SURVEY carries out scientific surveys both for the Institute, for other public organizations, and for the private sector as well. The SFI-SURVEY interviewer body has 450 interviewers spread throughout Denmark. There are five supervisors, each with a regional office, who are in contact with the interviewer body. On a yearly basis, SFI-SURVEY conducts 40 surveys. The average sample size (gross) is 1,000 persons. The average response rate is 75%. Since January 1999, the following information about the surveys have been recorded: · Type of method used (face-to-face or telephone) · Length of questionnaire (interviewing time in minutes) · Whether or not a folder was sent to the respondents in advance · Whether or not an interviewer instruction meeting was given · Number of interviews per interviewer per week · Whether or not the subject of the survey was of interest to the respondents · Interviewing month · Target group (random selection of the total population or special groups)
Release date: 2002-09-12 - 9. Are We Managing Our Knowledge? Results from the Pilot Knowledge Management Practices Survey, 2001 ArchivedArticles and reports: 88F0006X2002006Description:
The results of this pilot Knowledge Management Practices Survey indicate that most firms are managing some aspect of their knowledge. At present it appears that firms are more actively managing the transfer and sharing of knowledge within the firm and external knowledge that could directly bear on their markets. Knowledge management practices are seen as important tools in improving firms' competitive advantage and as a manner to unite workers in the goals of firms' strategic objectives. In fact, the majority of reasons found to be most important to the firms show a slant towards internalising knowledge and protecting the knowledge in place. Very few of the practices in use or the reasons or results of using the knowledge management practices indicated a strong willingness on the part of firms to share their knowledge with competitors or between work-sites.
Release date: 2002-04-19 - 10. The effect of intensity of effort to reach survey respondents: A Toronto smoking survey ArchivedArticles and reports: 12-001-X20010026090Geography: Census metropolitan areaDescription:
The number of calls in a telephone survey is used as an indicator of how difficult an intended respondent is to reach. This permits a probabilistic division of the non-respondents into non-susceptibles (those who will always refuse to respond), and the susceptible non-respondents (those who were not available to respond) in a model of the non-response. Further, it permits stochastic estimation of the views of the latter group and an evaluation of whether the non-response is ignorable for inference about the dependent variable. These ideas are implemented on the data from a survey in Metropolitan Toronto of attitudes toward smoking in the workplace. Using a Bayesian model, the posterior distribution of the model parameters is sampled by Markov Chain Monte Carlo methods. The results reveal that the non-response is not ignorable and those who do not respond are twice as likely to favor unrestricted smoking in the workplace as are those who do.
Release date: 2002-02-28
Reference (5)
Reference (5) ((5 results))
- Surveys and statistical programs – Documentation: 75F0002M2002006Description:
This user's guide provides a detailed description of the CD-ROM Income trends in Canada (Catalogue no. 13F0022XCB). It also provides a glossary and a description of the major concepts, as well as an overview of the data source, the Survey of Labour and Income Dynamics (SLID).
Release date: 2002-11-19 - Surveys and statistical programs – Documentation: 11-522-X20010016269Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
In surveys with low response rates, non-response bias can be a major concern. While it is not always possible to measure the actual bias due to non-response, there are different approaches that help identify potential sources of non-response bias. In the National Center for Education Statistics (NCES), surveys with a response rate lower than 70% must conduct a non-response bias analysis. This paper discusses the different approaches to non-response bias analyses using examples from NCES.
Release date: 2002-09-12 - Surveys and statistical programs – Documentation: 11-522-X20010016308Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
The Census Bureau uses response error analysis to evaluate the effectiveness of survey questions. For a given survey, questions that are deemed critical to the survey or considered problematic from past examination are selected for analysis. New or revised questions are prime candidates for re-interview. Re-interview is a new interview where a subset of questions from the original interview are re-asked to a sample of the survey respondents. For each re-interview question, the proportion of respondents who give inconsistent responses is evaluated. The "Index of Inconsistency" is used as the measure of response variance. Each question is labelled low, moderate, or high in response variance. In high response variance cases, the questions are put through cognitive testing, and modifications to the question are recommended.
The Schools and Staffing Survey (SASS) sponsored by The National Center for Education Statistics (NCES), is also investigated for response error analysis and the possible relationships between inconsistent responses and characteristics of the schools and teachers in that survey. Results of this analysis can be used to change survey procedures and improve data quality.
Release date: 2002-09-12 - Surveys and statistical programs – Documentation: 92-379-XDescription:
The 2001 Census Handbook is a reference tool covering every aspect of the 2001 Census of Population and Census of Agriculture. It provides an overview of every phase of the census, from content determination to data dissemination. It traces the history of the census from the early days of New France to the present. It also contains information about the protection of confidential information in census questions and variables, along with information about data quality and the possible uses of census data. Also covered are census geography and the range of products and services available from the 2001 Census database.
This series includes six general reference products: Preview of Products and Services, Census Dictionary, Catalogue, Standard Products Stubsets, Census Handbook and Technical Reports.
Release date: 2002-08-06 - Surveys and statistical programs – Documentation: 62F0026M2002001Description:
This report describes the quality indicators produced for the 2000 Survey of Household Spending. It covers the usual quality indicators that help users interpret the data, such as coefficients of variation, non-response rates, slippage rates and imputation rates.
Release date: 2002-06-28
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